No-code AI dataset builder and transformer
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Hugging Face AI Sheets is an open-source, no-code tool for building, enriching, and transforming datasets using AI models. It targets users who want to leverage AI for data manipulation without writing code, offering flexibility through local deployment or Hugging Face Hub integration.
How It Works
AI Sheets utilizes a web-based interface built with Qwik and QwikCity, allowing users to interact with AI models through a spreadsheet-like experience. It integrates with Hugging Face Inference Providers for seamless access to thousands of open-source models. Crucially, it supports custom LLMs that adhere to the OpenAI API specification, enabling users to connect local models (e.g., via Ollama) or other compatible inference endpoints.
Quick Start & Requirements
docker run -p 3000:3000 -e HF_TOKEN=your_token_here aisheets/sheets
git clone https://github.com/huggingface/sheets.git && cd sheets && export HF_TOKEN=your_token_here && pnpm install && pnpm dev
HF_TOKEN
) is required for authentication and inference. For custom LLMs, an OpenAI-compatible API endpoint and model name are needed.Highlighted Details
Maintenance & Community
The project is maintained by Hugging Face. Community channels and roadmap details are not explicitly provided in the README.
Licensing & Compatibility
The project is released under the Apache-2.0 license, which permits commercial use and linking with closed-source projects.
Limitations & Caveats
Text-to-image generation cannot be customized and will always use Hugging Face Inference Providers. The project relies on environment variables for configuration, which might require careful management in production deployments.
1 day ago
Inactive